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aertslab
crested

CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.

62K 68 10
scverse
muon

muon is a multimodal omics Python framework

28K 266 36
aertslab
scatac-fragment-tools

Tools for working with scATAC-seq fragment files

2K 7 1
parashardhapola
scarf

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

2K 115 15
sanderlab
scperturb

Python package with E-distance tools for single-cell perturbation data analysis.

441 173 12
lzj1769
pychromvar

A python package for chromVAR

352 33 5
mvinyard
cell-tools

Single-Cell Data Analysis Tools

159 1 0
gtca
chame

Chromatin analysis module

68 4 0
aristoteleo
epione

EpiOne: Generative cartography of single-cell epigenomes

63 7 1
mvinyard
sc-tools

Single-Cell Data Analysis Tools

59 1 0
parashardhapola
scarf-toolkit

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

8 115 15
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